Want to learn more about data visualization with Python? Take a look at my Data Visualization Basics with Python video course on O’Reilly. It’s been well over a year since I wrote my last tutorial, so I figure I’m overdue.…
Category: ipython
How to make beautiful data visualizations in Python with matplotlib
Posted in data visualization, ipython, python, tutorial Tagged with: graphic design, matplotlib, python, tutorial, visualization
Sagemath Cloud makes collaborating with IPython Notebooks easier than ever
Earlier this year, Sagemath Cloud went into open beta so anyone can play around with it. If you’re not familiar with the service, it’s a free cloud-based web service that provides access to personal directories, a terminal, IPython Notebook (incl.…
Posted in ipython, productivity, python Tagged with: cloud, ipython, latex, live collaboration, notebook, sagemath, terminal
IPython Notebook workshop report: still plagued by installation issues
Update (Nov. 2014): IPython Notebook installation has advanced considerably since I originally published this post. Check out the Anaconda Python Distribution for an easy one-click installer for all your Python library needs. Today I ran a small (~20 person) 1-hour…
Filling in Python’s gaps in statistics packages with Rmagic
Have you ever found yourself searching for a statistics package in Python, but it just isn’t available? This is the biggest reason I’ve heard when my colleagues say they’re unwilling to make the switch from R to Python for statistical…
Posted in ipython, productivity, python, statistics, tutorial Tagged with: ipython, pandas, python, R language, Rmagic, statistics, tutorial
Statistical analysis made easy in Python with SciPy and pandas DataFrames
I finally got around to finishing up this tutorial on how to use pandas DataFrames and SciPy together to handle any and all of your statistical needs in Python. This is basically an amalgamation of my two previous blog posts…
Posted in ipython, productivity, python, statistics, tutorial Tagged with: analysis of variance, ANOVA, bootstrap, confidence interval, data management, ipython, Mann-Whitney-Wilcoxon, MWW, notebook, pandas, plotting data, python, RankSum, research, standard error, statistics, tutorial
A short demo on how to use IPython Notebook as a research notebook
As promised, here’s the IPython Notebook tutorial I mentioned in my introduction to IPython Notebook. Downloading and installing IPython Notebook You can download IPython Notebook with the majority of the other packages you’ll need in the Anaconda Python distribution. From…
Posted in ipython, productivity, statistics, tutorial Tagged with: analysis of variance, ANOVA, bootstrap, confidence interval, ipython, Mann-Whitney-Wilcoxon, MWW, notebook, python, RankSum, research, standard error, statistics, tutorial
IPython Notebook: Finally, the research notebook I’ve always been looking for is here!
I attended a Software Carpentry workshop hosted by Titus Brown and Greg Wilson this week and was introduced to, among many other things, a piece of software that I’ve been looking for ever since I started my graduate program: IPython…
